Big data, machine learning and data science for social science and humanities – crash course for students and faculty

Datafication and digitalisation have revolutionised what we can observe: scholars are increasingly social media data, digital traces, various databases – both quantitative and qualitative. At the same time, the data sets we work on have become increasingly larger, meaning that our traditional data analysis approaches are not sufficient. Furthermore, methodological development is being conducted to… Continue reading Big data, machine learning and data science for social science and humanities – crash course for students and faculty

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